Inès Saab

1.2k total citations · 1 hit paper
6 papers, 621 citations indexed

About

Inès Saab is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Inès Saab has authored 6 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in Inès Saab's work include COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (4 papers) and Long-Term Effects of COVID-19 (3 papers). Inès Saab is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (4 papers) and Long-Term Effects of COVID-19 (3 papers). Inès Saab collaborates with scholars based in France and United States. Inès Saab's co-authors include Guillaume Chassagnon, Séverine Dangeard, Souhail Bennani, Marie‐Pierre Revel, Marie‐Pierre Revel, Mickaël Tordjman, Hendy Abdoul, Laure Fournier, Olivier Sanchez and Christine Lorut and has published in prestigious journals such as PLoS ONE, European Respiratory Journal and Arthritis Research & Therapy.

In The Last Decade

Inès Saab

6 papers receiving 606 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COVID-19 pneumonia: A review of typical CT findings and differential diagnosis

2020 297 citations Inès Saab, Séverine Dangeard et al. Diagnostic and Interventional Imaging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Inès Saab France	6	395	248	154	146	111	6	621
Chengjun Dong China	4	393 1.0×	385 1.6×	110 0.7×	194 1.3×	34 0.3×	5	705
Julien Behr France	10	423 1.1×	119 0.5×	208 1.4×	212 1.5×	214 1.9×	28	707
Jasenko Krdzalic Netherlands	6	359 0.9×	393 1.6×	190 1.2×	122 0.8×	19 0.2×	13	681
Mario A. Cedillo United States	8	169 0.4×	247 1.0×	112 0.7×	57 0.4×	33 0.3×	16	487
Bram Geurts Netherlands	9	337 0.9×	431 1.7×	142 0.9×	162 1.1×	25 0.2×	13	816
Wouter M. van Everdingen Netherlands	13	318 0.8×	349 1.4×	136 0.9×	147 1.0×	16 0.1×	28	855
Adam Russak United States	7	545 1.4×	50 0.2×	181 1.2×	308 2.1×	212 1.9×	8	896
Carlotta Rucci Italy	9	297 0.8×	476 1.9×	152 1.0×	91 0.6×	15 0.1×	17	657
Tiziano Polidori Italy	12	294 0.7×	523 2.1×	158 1.0×	92 0.6×	16 0.1×	27	713
Franck Grillet France	8	424 1.1×	91 0.4×	206 1.3×	212 1.5×	203 1.8×	18	652

Countries citing papers authored by Inès Saab

Since Specialization

Citations

This map shows the geographic impact of Inès Saab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Inès Saab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inès Saab more than expected).

Fields of papers citing papers by Inès Saab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inès Saab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Inès Saab. The network helps show where Inès Saab may publish in the future.

Co-authorship network of co-authors of Inès Saab

This figure shows the co-authorship network connecting the top 25 collaborators of Inès Saab. A scholar is included among the top collaborators of Inès Saab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inès Saab. Inès Saab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Puéchal, Xavier, Inès Saab, Benjamin Terrier, et al.. (2022). Differentiating tracheobronchial involvement in granulomatosis with polyangiitis and relapsing polychondritis on chest CT: a cohort study. Arthritis Research & Therapy. 24(1). 241–241. 6 indexed citations

2.

Saab, Inès, Séverine Dangeard, Souhail Bennani, et al.. (2020). Incidental diagnosis of Covid-19 pneumonia on chest computed tomography. Diagnostic and Interventional Imaging. 101(7-8). 457–461. 8 indexed citations

3.

Saab, Inès, et al.. (2020). COVID-19 pneumonia: A review of typical CT findings and differential diagnosis. Diagnostic and Interventional Imaging. 101(5). 263–268. 297 indexed citations breakdown →

4.

Guillo, Enora, Séverine Dangeard, Souhail Bennani, et al.. (2020). COVID-19 pneumonia: Diagnostic and prognostic role of CT based on a retrospective analysis of 214 consecutive patients from Paris, France. European Journal of Radiology. 131. 109209–109209. 36 indexed citations

5.

Saab, Inès, Mickaël Tordjman, Hendy Abdoul, et al.. (2020). Pulmonary embolism in patients with COVID-19 pneumonia. European Respiratory Journal. 56(1). 2001365–2001365. 259 indexed citations

6.

Tordjman, Mickaël, Ahmed Mekki, Inès Saab, et al.. (2020). Pre-test probability for SARS-Cov-2-related infection score: The PARIS score. PLoS ONE. 15(12). e0243342–e0243342. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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